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Head of ML / Head of Quant Research (Crypto Trading)

MIRA CONSTRUCTION L.L.C • Georgia • Serbia


Posted: October 22, 2026

Job Description

We are looking for a Head of ML / Head of Quant Research to take full ownership of developing and scaling machine learning trading strategies in crypto markets (Spot / Perpetuals).

You will take over a live, operating production ML trading system with existing Capital Under Management and lead a dedicated research team.

Key Responsibilities

  • Full Ownership: Take complete control of the research pipeline, model architecture, signal generation, and risk limits.
  • Alpha Generation: Design, backtest, and deploy new profitable ML models and quantitative trading strategies.
  • Execution & Scaling: Optimize execution algorithms, refine live strategy performance, and scale capital under management.
  • Leadership: Lead, mentor, and grow a team of quant researchers and developers.
We are looking for a Head of ML / Head of Quant Research to take full ownership of developing and scaling machine learning trading strategies in crypto markets (Spot / Perpetuals).You will take over a live, operating production ML trading system with e...

Education & Mathematical Background:

  • Degree in CS / Math / Data Science from a top-tier university (MIPT, HSE, MSU, SPbSU, ITMO, YSDA, or international equivalents).
  • Strong foundation in probability, statistics, linear algebra, and algorithms.

Tech Stack & Hard Skills:

  • Python (NumPy, Numba).
  • PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track).
  • Proven track record of developing profitable ML models or quantitative trading strategies in production.

Nice to Have:

  • Experience in crypto/HFT/algorithmic trading (Order Book dynamics, L2/L3 data, funding rate arbitrage, liquidations).
  • Proficiency in C++ (reading, profiling, and optimizing performance).
  • Competitive programming / Kaggle achievements (IMO, IOI, ICPC, Codeforces, Kaggle Master/GM) or top-tier publications (NeurIPS, ICML, ICLR).
  • English: A2+ (Internal team communication is in Russian; fluent spoken English is not required).

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